ArticleCardiovascular diabetology2025
Association between systemic inflammation biomarkers and incident cardiovascular disease in 423,701 individuals: evidence from the UK biobank cohort.
Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed.
- Article
- Comparison of Novel Systemic Inflammatory Indices for Identification of Left Ventricular Hypertrophy in Hypertensive Patients: A Large-Scale Cross-Sectional Study in China.Journal of cardiovascular development and disease · 2026Article
- Social Isolation, Genetic Susceptibility, Systemic Inflammation and Risk of Abdominal Aortic Aneurysm: A UK Biobank Cohort Study.Healthcare (Basel, Switzerland) · 2026Article
- A nomogram to predict early spontaneous abortion in women with polycystic ovary syndrome: a retrospective cohort study.BMC pregnancy and childbirth · 2026Article
- Growth differentiation factor-15 and the incidence, bidirectional progression, and risk prediction of atherosclerotic cardiovascular disease and metabolic dysfunction-associated steatotic liver disease in individuals with cardiovascular-kidney-metabolic syndrome stages 0-3.Cardiovascular diabetology · 2026Article
- Atrial Fibrillation, Cerebral Small Vessel Disease and Gender Medicine: Focus on Biomarkers and Neuroimaging.Journal of clinical medicine · 2026Article
- Sex-Specific Associations of Inflammatory Biomarkers With All-Cause and Cardiovascular Mortality Across Glycaemic Status: A Prospective UK Biobank Study.Diabetes, obesity & metabolism · 2026Article
- Prognostic Value of the CALLY Index in Predicting All-Cause Mortality After Transcatheter Aortic Valve Implantation: A Two-Year Follow-Up Study.Medicina (Kaunas, Lithuania) · 2026Article
- Bidirectional associations between biological aging, cardiovascular health, and cardiovascular risk: findings from the INSPIRE-T lifespan cohort.GeroScience · 2026Article
- Machine learning-based prediction of myocardial ischemia-reperfusion injury in patients with ST-segment elevation myocardial infarction: the STEMI-MIRI prediction model.BMC cardiovascular disorders · 2026Article
- Association Between Personal, Behavioral, Psychological, Biochemical and Molecular Biomarkers with Illness Count in a Sample of Mexican Individuals.International journal of molecular sciences · 2026Article
- Enhanced predictive value of post-treatment lymphocyte-based immunoinflammatory biomarkers for cancer therapy-related cardiac dysfunction in anthracycline-treated breast cancer patients.Cardio-oncology (London, England) · 2026Article
- CABIT: a novel biomarkers-integrated inflammatory risk tool for ischemic heart disease developed in the USA and prospectively validated in China.Journal of translational medicine · 2026Article
- Associations of metabolic indicators and inflammation-related indices with adverse cardiovascular events in US adults: NHANES 1999-2018.Lipids in health and disease · 2026Article
- Association of nine composite inflammatory indices with cardiovascular diseases in US adults: national health and nutrition examination survey (NHANES, 2005-2018).Journal of health, population, and nutrition · 2026Article
- Pro-resolving lipid mediators in diseases: exploring the molecular basis and clinical implication.Molecular biomedicine · 2026Review
- Comparative Predictive Value of Nine Composite Inflammatory Markers for Atrial Fibrillation Recurrence After Catheter Ablation.Journal of inflammation research · 2026Article
- Association between systemic inflammation response index and risk of major adverse cardiovascular events in adults with and without metabolic syndrome: a prospective cohort study in Shanghai, Pudong.Frontiers in endocrinology · 2026Article
- Elevated angiography-derived microvascular resistance and HbA1c levels jointly predict adverse outcomes in patients with diabetic STEMI: a multicenter retrospective cohort study.Frontiers in endocrinology · 2026Observational
- Association between preoperative inflammatory biomarkers and postoperative pulmonary complications in stage I-II non-small cell lung cancer: a retrospective study.Frontiers in medicine · 2026Article
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4 authors.
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Abstract
backgroundThe associations between systemic inflammation biomarkers and cardiovascular disease (CVD) remain not well explored. This study aimed to investigate associations between different systemic inflammation biomarkers and incident CVD and main CVD subtypes - ischaemic heart disease (IHD), stroke, and heart failure - explore dose-response relationships, and compare their predictive performance.
methodsThis prospective cohort study included 423,701 UK Biobank participants free of CVD at baseline. Baseline neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and system inflammation response index (SIRI) were derived. Cox-proportional regression models were used to investigate the associations.
resultsNLR, PLR, SII, and SIRI was positively and LMR was negatively associated with all four of the outcomes investigated. The relationships were non-linear for all biomarkers with CVD and were linear for NLR, SII, and SIRI and non-linear for LMR and PLR with IHD, stroke and heart failure. Compared with the more established biomarkers, all four of the novel biomarkers had statistically superior predictive performance for three of the outcomes investigated (CVD, IHD and heart failure) and three of them were superior at predicting stroke. Compared to a model of CVD prediction with classical risk factors (C-index = 0.702), discrimination was improved on the addition of inflammation markers for CVD (C-index change 0.0069, 95% CI 0.0033 to 0.0107), IHD (C-index change 0.0054, 95% CI 0.0013 to 0.0095), and heart failure (C-index change 0.0153, 95% CI 0.0089 to 0.0218).
conclusionsThere were independent and dose-response relationships between the novel systemic inflammation biomarkers and CVD outcomes. Addition of the inflammation biomarkers including novel inflammation biomarkers showed improved discrimination of the traditional risk prediction model. With accumulated evidence, these biomarkers should be considered for inclusion in risk tools and prevention.
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